Summary: We present a graphical user interface (PyCorrFit) for the fitting of theoretical model functions to experimental data obtained by fluorescence correlation spectroscopy (FCS). The program supports many data file formats and features a set of tools specialized in FCS data evaluation. Availability and implementation: The Python source code is freely available for download from the PyCorrFit web page at http://pycorrfit. craban.de. We offer binaries for Ubuntu Linux, Mac OS X and Microsoft Windows. © The Author 2014. Published by Oxford University Press.
CITATION STYLE
Müller, P., Schwille, P., & Weidemann, T. (2014). PyCorrFit-generic data evaluation for fluorescence correlation spectroscopy. Bioinformatics, 30(17), 2532–2533. https://doi.org/10.1093/bioinformatics/btu328
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